Paper
15 November 2007 Research of detection range of LWIR dispersive imaging spectrometer
Hong Xu, Xiangjun Wang
Author Affiliations +
Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678655 (2007) https://doi.org/10.1117/12.750576
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Among various types of long-wave infrared spectrometers, dispersive spectrometer has the simplist structure and has shown good service behavior in all kinds of imaging spectroscopy applications. For the technology of infrared remote imaging spectroscopy, an excellent designed imaging spectrometer is the key factor. Of all the designing factors, the tradeoff between the detection performance and the structure size is always the main topic. In this paper, according to the performance parameters of the used infrared sensor, characteristic of energy transmission of dispersive spectrometer, characteristic of target radiation and the effect of atmospheric transmission, a comprehensive research is done to construct a perfect receiving radiation model of LWIR dispersive spectrometer, providing theoretical foundations for accurately determining the relationship between instrumental structure parameters and the detection range. A designing model with an uncooled microbolometer as its detector is calculateded to analyse its potential in the application of long-wave remote imaging spectroscopy.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hong Xu and Xiangjun Wang "Research of detection range of LWIR dispersive imaging spectrometer", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678655 (15 November 2007); https://doi.org/10.1117/12.750576
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KEYWORDS
Spectroscopy

Long wavelength infrared

Infrared spectroscopy

Transmittance

Remote sensing

Sensors

Atmospheric modeling

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